The Everything Frame!

The Everything Frame!

An introduction to Raspberry Pi and Linux

In this live in-person workshop, students will build an elegant, wireless digital frame. Built around a tiny Raspberry Pi computer, the frame can display a library of images, loop through videos and connect to live streams. Students will learn the basics of the Linux command line and come away with a fully configured digital frame to keep!

Course Logistics

Dates
Thursday, August 4, 2022

Location

Gray Area
2665 Mission Street
San Francisco

Time
6PM – 9PM

Cost
$300 for a 3hr hands-on workshop (Limited to 12 students)

We also offer Diversity Scholarships, find out more and apply here

Experience level: Beginners and experienced Pi users are welcome. Some familiarity with command line interfaces will be beneficial, but is not required. Students will need a PC or Mac laptop. If possible, please bring an adaptor for writing to a Micro SD card.

Course Requirements:
• Computer with an internet connection
• All course materials will be provided for students.

Course Outline

– An introduction to the Raspberry Pi
– Setting up Raspberry Pi OS
– Understanding the command line
– Download and configuring software
– Display a live feed from the International Space Station
– Play and loop videos
– Display (and crossfade between!) a library of images
– Scripts for running the Pi automatically

Education Goals

In addition to building a useful digital frame, students will come away with an understanding of the Raspberry Pi ecosystem and develop confidence working with the command line. For those interested in going further, the finished frame can serve as a platform for other projects and experiences.

About Technologies

We’ll use the Raspberry Pi, a tiny single board computer designed for students and tinkerers. We’ll learn how to download and install free and open source software, and will write basic scripts to allow the Pi to run autonomously.


Instructor(s)

Dave Elfving is a teacher, experience designer and artist. An adjunct professor at the California College of Art, he loves sharing tools and techniques that empower creative expression. His work explores the relationship between human perception and Machine Learning systems; in short, he digs mashing up data with traditional darkroom photography.